Florian TramèrResearch Scientist · Google DeepMindResearcher↗
Researcher · Academic
Nicolas Papernot
University of TorontoAssociate Professor
Vector InstituteFaculty Member; Canada CIFAR AI Chair
Google DeepMindResearch Scientist
Papernot helped establish machine-learning security as a field, showing how adversarial examples can fool models and developing PATE, a method for training models without exposing sensitive data. His work connects practical attacks with privacy-preserving learning.
Career & education
Current rolesUniversity of Toronto2025-presentAssociate ProfessorVector Institute2019-presentFaculty Member; Canada CIFAR AI ChairGoogle DeepMind2018-presentResearch Scientist
University of Toronto2025-presentVector Institute2019-presentGoogle DeepMind2018-presentPreviouslyUniversity of Toronto2019-2025Assistant Professor
University of Toronto2019-2025Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations61,878As of Oct 25, '26
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 9, 2026 · Checked for accuracy and new information.
